Hana Hall

1.5k total citations
19 papers, 1.1k citations indexed

About

Hana Hall is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hana Hall has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hana Hall's work include Microtubule and mitosis dynamics (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Genomics and Chromatin Dynamics (4 papers). Hana Hall is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Genomics and Chromatin Dynamics (4 papers). Hana Hall collaborates with scholars based in United States, Bulgaria and Slovakia. Hana Hall's co-authors include Yoichiro Shibata, Brian D. Strahl, Mark C. Hall, Arno L. Greenleaf, Hemali Phatnani, Christoph H. Borchers, Tiaojiang Xiao, Vikki M. Weake, Walter D. Leon-Salas and Juan S. Martinez and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Hana Hall

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hana Hall United States	12	1.0k	130	123	82	69	19	1.1k
Rakhee Banerjee United States	10	812 0.8×	103 0.8×	59 0.5×	50 0.6×	68 1.0×	22	1.0k
Vikki M. Weake United States	19	1.4k 1.4×	240 1.8×	75 0.6×	94 1.1×	154 2.2×	42	1.6k
Tory Herman United States	7	502 0.5×	44 0.3×	122 1.0×	54 0.7×	104 1.5×	9	640
Rhonda Trimble United States	8	435 0.4×	119 0.9×	202 1.6×	46 0.6×	37 0.5×	8	694
Nicholas J. McGlincy United Kingdom	8	843 0.8×	89 0.7×	37 0.3×	76 0.9×	21 0.3×	9	949
Vincent Ossipow Switzerland	12	619 0.6×	109 0.8×	56 0.5×	87 1.1×	96 1.4×	14	993
Jonathan Zirin United States	18	631 0.6×	76 0.6×	128 1.0×	34 0.4×	174 2.5×	29	926
Christian Feller Germany	10	660 0.7×	105 0.8×	44 0.4×	51 0.6×	27 0.4×	12	780
Yao-Fu Chang United States	3	879 0.9×	119 0.9×	63 0.5×	185 2.3×	59 0.9×	3	1.1k
Joshua A. Arribere United States	12	989 1.0×	85 0.7×	113 0.9×	48 0.6×	48 0.7×	20	1.2k

Countries citing papers authored by Hana Hall

Since Specialization

Citations

This map shows the geographic impact of Hana Hall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hana Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hana Hall more than expected).

Fields of papers citing papers by Hana Hall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hana Hall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hana Hall. The network helps show where Hana Hall may publish in the future.

Co-authorship network of co-authors of Hana Hall

This figure shows the co-authorship network connecting the top 25 collaborators of Hana Hall. A scholar is included among the top collaborators of Hana Hall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hana Hall. Hana Hall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Lanman, Nadia A., et al.. (2022). Proper control of R‐loop homeostasis is required for maintenance of gene expression and neuronal function during aging. Aging Cell. 21(2). e13554–e13554. 23 indexed citations

Hall, Hana, et al.. (2022). The Clock:Cycle complex is a major transcriptional regulator of Drosophila photoreceptors that protects the eye from retinal degeneration and oxidative stress. PLoS Genetics. 18(1). e1010021–e1010021. 10 indexed citations

Hall, Hana, et al.. (2022). Tissue-Specific, Genome-wide Mapping of R-loops in Drosophila Using MapR. BIO-PROTOCOL. 12(18). 2 indexed citations

Hall, Hana, et al.. (2021). Quantitative Proteomic and Metabolomic Profiling Reveals Altered Mitochondrial Metabolism and Folate Biosynthesis Pathways in the Aging Drosophila Eye. Molecular & Cellular Proteomics. 20. 100127–100127. 19 indexed citations

Hall, Hana, et al.. (2021). Characterizing a gene expression toolkit for eye- and photoreceptor-specific expression in Drosophila. Fly. 15(1). 73–88. 6 indexed citations

Hall, Hana, Jordan Snaider, Brian A. MacVicar, et al.. (2020). Neuron Activity Dependent Redox Compartmentation Revealed with a Second Generation Red-Shifted Ratiometric Sensor. ACS Chemical Neuroscience. 11(17). 2666–2678. 5 indexed citations

Hall, Hana, et al.. (2018). Blue light induces a neuroprotective gene expression program in Drosophila photoreceptors. BMC Neuroscience. 19(1). 43–43. 33 indexed citations

Stegeman, Rachel, et al.. (2018). Proper splicing contributes to visual function in the aging Drosophila eye. Aging Cell. 17(5). e12817–e12817. 33 indexed citations

Hall, Hana, Daphne Cooper, Christopher Vincent, et al.. (2017). Transcriptome profiling of aging Drosophila photoreceptors reveals gene expression trends that correlate with visual senescence. BMC Genomics. 18(1). 894–894. 61 indexed citations

10.

Chen, Xinping, Hana Hall, Jeffrey P. Simpson, et al.. (2017). Cytochrome b5 protects photoreceptors from light stress-induced lipid peroxidation and retinal degeneration. SHILAP Revista de lepidopterología. 3(1). 18–18. 40 indexed citations

11.

Hall, Hana, et al.. (2016). A Substrate Trapping Method for Identification of Direct Cdc14 Phosphatase Targets. Methods in molecular biology. 1505. 119–132. 3 indexed citations

12.

Miller, Daniel P., et al.. (2015). Dephosphorylation of Iqg1 by Cdc14 regulates cytokinesis in budding yeast. Molecular Biology of the Cell. 26(16). 2913–2926. 32 indexed citations

13.

Choi, Eunyoung, et al.. (2014). Timely Activation of Budding Yeast APCCdh1 Involves Degradation of Its Inhibitor, Acm1, by an Unconventional Proteolytic Mechanism. PLoS ONE. 9(7). e103517–e103517. 5 indexed citations

14.

Martinez, Juan S., et al.. (2012). Acm1 contributes to nuclear positioning by inhibiting Cdh1-substrate interactions. Cell Cycle. 11(2). 384–394. 7 indexed citations

15.

Hall, Hana, Juan S. Martinez, Christie L. Eissler, et al.. (2011). Cdc14 Phosphatases Preferentially Dephosphorylate a Subset of Cyclin-dependent kinase (Cdk) Sites Containing Phosphoserine. Journal of Biological Chemistry. 287(3). 1662–1669. 68 indexed citations

16.

Luo, Jianjun, Xinjing Xu, Hana Hall, et al.. (2009). Histone H3 Exerts a Key Function in Mitotic Checkpoint Control. Molecular and Cellular Biology. 30(2). 537–549. 35 indexed citations

17.

Phatnani, Hemali, et al.. (2005). A Novel Domain in Set2 Mediates RNA Polymerase II Interaction and Couples Histone H3 K36 Methylation with Transcript Elongation. Molecular and Cellular Biology. 25(8). 3305–3316. 383 indexed citations

18.

Hall, Hana, et al.. (2005). Characterization of ERCC3 mutations in the Chinese hamster ovary 27-1, UV24 and MMC-2 cell lines. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 593(1-2). 177–186. 15 indexed citations

19.

Xiao, Tiaojiang, Hana Hall, Yoichiro Shibata, et al.. (2003). Phosphorylation of RNA polymerase II CTD regulates H3 methylation in yeast. Genes & Development. 17(5). 654–663. 346 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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